AI Software Engineer at Hoag Hospital building production AI systems
for healthcare automation. M.S. Computer Science from Arizona State
University with expertise in AI systems, backend architecture, and
autonomous agent design.
Developed AI call center agents to automate appointment calls,
processing ~3,000 calls with an 80% call deflection rate.
Developed custom GitOps to manage agent configs using git version
control and automated scripts to deploy, simplifying syncing between
dev, stage, and prod environments.
Spearheaded development of comprehensive eval harness with automated
customer agent simulation evaluated by judge LLM, including scripts to
automate test case creation using existing transcripts for regression
testing and compliance reporting.
TechAhead, Remote
Client Solutions Architect
Apr 2025 – Present
System Design, Backend Architecture, AI Integration, Cost
Analysis
Created technical architecture proposals for potential clients and
designed scalable backend systems.
Coordinated with clients and developers to ensure alignment on
feature development and project requirements.
Consulted on AI integration strategies for client projects and
developed internal AI tools to automate proposal creation.
Calculated and optimized system costs for proposed solutions.
Designed and implemented a full-stack platform for teachers to
create, share, and sell language resources – integrating authentication,
payments, file management, analytics, and error tracking to serve 1,000+
educators.
Developed a custom RAG solution to enhance search results based on
cultural and linguistic relevance.
InduzBuy, Bangalore, India
Software Engineer Intern
May 2023 – Aug 2023
Laravel, EC2, BERT, Python, TensorFlow
Improved modularity and cut feature lead time by 20% by migrating
from core PHP to Laravel.
Reduced data processing time from 30 mins to 30 secs with a 95%
accurate BERT-based model.
Decreased deployment errors by 40% by automating EC2 deployments via
bash scripting.
ICICI Lombard GIC, Bangalore,
India
Software Engineer
Oct 2019 – Aug 2022
Java, Spring Boot, Neo4j, Redis, SQL, React.js, React
Native
Reduced AWS costs by 30% by migrating a monolith to microservices
with auto-scalers.
Improved insurance premium computation speed by 40% using a
Neo4j-based decision tree.
Cut call center revenue loss by 20% during COVID by building a React
Native CRM app for sales teams.
Autoninja, Bangalore, India
Software Engineer
Jan 2019 – Oct 2019
Java, Spring Boot, ELK Stack, Sentry
Decreased support calls by 20% by developing real-time car delivery
tracking.
Reduced error response times by 70% by implementing internal ELK
dashboards to catch misconfigurations in customer deployments.
Cut ticket resolution time by 15% by optimizing customer support
processes.
Education
M.S. Computer Science, Arizona State University, Tempe
2022 – 2024
B.Sc. Mechanical Engineering (Minor: CS), PES University,
Bangalore
2015 – 2019
Projects
Open Source MathNotes Application
Feb 2025
Python,TensorFlow, tldraw, pic2text, Sympy
Created an open-source MathNotes application to automatically solve
handwritten university-level mathematical equations with an accuracy of
85%.
Scalable Data Processing Pipeline
Jan 2023
Apache Spark, Kubernetes, Scala, Hadoop, Neo4j
Leveraged 10M+ NYC taxi records and created an ETL pipline to model
trip patterns using PageRank and hotspot detection.
TCR-Epitope Binding Affinity Prediction
Sep 2023
CNN, Encoder-Decoder, TensorFlow
Achieved 81% accuracy on 500k+ antigen sequences with a hybrid
CNN-encoder-decoder model.
Enhanced recall by 8% to improve immunotherapy research
insights.
